Triple
T16466013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ace |
E399933
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Mel Bush |
E1089685
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mel Bush | Statement: [Ace, friendOf, Mel Bush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Bush Context triple: [Ace, friendOf, Mel Bush]
-
A.
Mel Bush
chosen
Mel Bush is a companion of the Seventh Doctor in the long-running British science fiction series Doctor Who.
-
B.
Paul Bush
Paul Bush was a 16th-century English clergyman who became the first Bishop of Bristol during the early years of the English Reformation.
-
C.
Dee Lampton
Dee Lampton was an American silent film comedian best known for his frequent appearances in early Hal Roach comedies alongside stars like Harold Lloyd.
-
D.
Mel Stuart
Mel Stuart was an American film and television director best known for helming the classic 1971 musical fantasy film "Willy Wonka & the Chocolate Factory."
-
E.
Cherie Berry
Cherie Berry is a North Carolina politician best known for her long tenure as the state's Commissioner of Labor, during which her photo became widely recognized from being displayed in elevators across the state.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcc52f88190958b408e49cfb512 |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f575ed48190a24d6af74565189d |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.